Urban centers worldwide grapple with the intricate challenge of traffic congestion,
necessitating sophisticated solutions grounded in real-time data analytics. This paper …

Identifying weather conditions, such as snow, rain, fog, and dust, can be very beneficial in
safety and security concerns, and plays a prominent role in transportation, driving and many …

Accurate classification of weather conditions in images is essential for enhancing the
performance of object detection and classification models under varying weather conditions …

This study implements ensemble deep learning models for weather image classification.
Firstly, this study check the performance of 9 pre-train models, namely Xception, ResNet152 …

This research implements hybrid deep learning network models for weather image
classification. The study proposes to apply a combined model, namely VGG16-LightGBM. In …

Fractures are substantial contributors to solute transport sedimentary systems that form
pathways. The pathway formed in a fracture has two physical parameters, there are mean …

This study implements some hybrid deep learning network models for weather image
classification. This study proposes to apply a hybrid model, namely CNN-XGBoost model to …

This research is a comparative study of Traditional Convolutional Neural Network (CNN)
and MobileNet architecture for effective weather condition detection. An open-source …

Nghiên cứu này đề xuất thử nghiệm mô hình kết hợp giữa mạng CNN và thuật toán
XGBoost cho bài toán nhận dạng ảnh thời tiết. Mô hình đề xuất sử dụng mạng học sâu CNN …